Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity

9 December 2023

Papers citing "Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity"

4 / 4 papers shown

Title
Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models Jamil Arbas H. Ashtiani Christopher Liaw 32 23 0 07 Mar 2023
A Private and Computationally-Efficient Estimator for Unbounded Gaussians Gautam Kamath Argyris Mouzakis Vikrant Singhal Thomas Steinke Jonathan R. Ullman 50 39 0 08 Nov 2021
On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians Ishaq Aden-Ali H. Ashtiani Gautam Kamath 32 41 0 19 Oct 2020
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 62 148 0 01 May 2018